Slot: other_characteristics¶
Cohort traits that are true but not selective: the entries moved out of population_characteristics because every plausible cohort could carry them. "normal weight", "typically developing", "right-handed", "normal or corrected-to-normal vision", "no history of neurological illness", "MRI compatible", "native English speakers" are the recurring forms.
Derived, not extracted. pondie.normalization.population_characteristics partitions the extracted list and code writes this side of it, so the slot is never put to a model. It exists because the alternative to moving these values is dropping them, which loses a cohort detail a reader auditing the study wants to see.
The partition is by selectivity, not by truth. A value here is not wrong; it is a value no query can usefully filter on, which is the only reason it cannot share a field with the trait a study chose its cohort for.
Asymmetric where the literature is: "right-handed" is normative and "left-handed" or "mixed-handed" is selective, because a study recruiting left-handers recruited for that. Likewise a negated condition is normative ("no psychiatric history") and a negated exposure is not ("no history of smoking" defines the control arm of a smoking study).
URI: neurostudy:other_characteristics
Applicable Classes¶
| Name | Description | Modifies Slot |
|---|---|---|
| Group | An aggregate participant group and its reported demographics | no |
Properties¶
Type and Range¶
| Property | Value |
|---|---|
| Range | String |
| Domain Of | Group |
| ### Cardinality and Requirements |
| Property | Value |
|---|---|
| Multivalued | Yes |
Slot Characteristics¶
| Property | Value |
|---|---|
| Owner | Group |
In Subsets¶
Identifier and Mapping Information¶
Schema Source¶
- from schema: https://neurostuff.org/schemas/neuroimaging-study-storage
Mappings¶
| Mapping Type | Mapped Value |
|---|---|
| self | neurostudy:other_characteristics |
| native | neurostudy:other_characteristics |
LinkML Source¶
name: other_characteristics
description: 'Cohort traits that are true but not selective: the entries moved out
of `population_characteristics` because every plausible cohort could carry them.
"normal weight", "typically developing", "right-handed", "normal or corrected-to-normal
vision", "no history of neurological illness", "MRI compatible", "native English
speakers" are the recurring forms.
**Derived, not extracted.** `pondie.normalization.population_characteristics` partitions
the extracted list and code writes this side of it, so the slot is never put to
a model. It exists because the alternative to moving these values is dropping them,
which loses a cohort detail a reader auditing the study wants to see.
The partition is by selectivity, not by truth. A value here is not wrong; it is
a value no query can usefully filter on, which is the only reason it cannot share
a field with the trait a study chose its cohort for.
Asymmetric where the literature is: "right-handed" is normative and "left-handed"
or "mixed-handed" is selective, because a study recruiting left-handers recruited
for that. Likewise a negated *condition* is normative ("no psychiatric history")
and a negated *exposure* is not ("no history of smoking" defines the control arm
of a smoking study).'
in_subset:
- mvp
- deterministic
from_schema: https://neurostuff.org/schemas/neuroimaging-study-storage
rank: 1000
owner: Group
domain_of:
- Group
range: string
multivalued: true